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Data Analyst (eWallet)

Data Analyst (eWallet)

Ant InternationalKuala Lumpur, Kuala Lumpur, Malaysia
11 hari lalu
Penerangan pekerjaan

Overview

Great opportunity to advance your career with a stable and expanding organization as a member of Ant Group’s Risk Management team. You will focus on creating a cutting-edge international merchant risk control system.

We provide an innovative and open work environment where you have the opportunity to work with top international AI and risk control experts. You will focus on ensuring our business activities remain safe, compliant and well-positioned for future opportunities and sustainable growth.

Job Responsibilities

  • Thoroughly analyze various types of data about the user, transaction, etc., excavate risk characteristics
  • Support the build of a user risk profile including designing a comprehensive user risk quantification strategy for batch registration, promotion abuse, fraud, and arbitrage etc.
  • Create a data-driven strategy to support business risk decision-making to ensure the healthy, compliant and sustainable development of international business
  • Collaborate with teams such as algo, policies, products, technology, and operations to build and improve an AI based merchant quantitative risk management platform, and create merchant security solutions and service products
  • Assist risk management team with departmental initiatives and other duties as assigned

Job Requirements

  • Bachelor’s degree in mathematics, statistics, finance, management science, computer science, or related fields
  • At least 3-5 years of work experience in big data analysis and data mining, with experience in banks, third-party payment institutions, card providers and internet companies preferred
  • Good analytical and problem-solving skills, adept at applying data methods
  • Collaborative and inquisitive mindset
  • Proficient in English and proficient in Mandarin will be an added advantage
  • Proficiency in SQL data processing is required
  • Proficiency in SAS, Python, R is a nice to have
  • Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Analyst
  • #J-18808-Ljbffr

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